Triple
T28112283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letters and Music |
E710526
|
entity |
| Predicate | hasInterviewFormat |
P99527
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Letters and Music, hasInterviewFormat, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterviewFormat Context triple: [Letters and Music, hasInterviewFormat, yes]
-
A.
hasInterviews
chosen
Indicates that one entity conducts, contains, or is associated with interviews involving another entity.
-
B.
usesInterviews
Indicates that one entity employs interviews as a method or tool in relation to another entity or process.
-
C.
hasGivenInterviewsIn
Indicates that an entity has conducted or participated in interviews within a specified place or context.
-
D.
hasAuthorInterviewRole
Indicates that an entity participates in an interview in the role of an author.
-
E.
hasDebateFormat
Indicates that a particular debate, event, or context uses or follows a specified debate format or structure.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 27, 2026, 9:11 p.m.